Job levels summarize the complexity, autonomy, and responsibility of task execution. Conceptually, job levels are related to the organization of production, are distinct from occupations, and can be constructed from data on task execution. We highlight their empirical role in matched...

This paper uses a large survey (SOEP) to update and deepen our knowledge about the labor market performance of immigrants in Germany. It documents that immigrant workers initially earn on average 20 percent less than native workers with otherwise identical characteristics. The gap is smaller for...

Different empirical studies suggest that the structure of employment in the U.S. and Great Britain tends to polarise into "good" and "bad" jobs. We provide updated evidence that polarisation also occurred in Germany since the mid-1980s until 2008. Using representative panel data, we show that...

Different empirical studies suggest that the structure of employment in the U.S. and Great Britain tends to polarise into "good" and "bad" jobs. We provide updated evidence that polarisation also occurred in Germany since the mid-1980s until 2008. Using representative panel data, we show that...

Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of...

Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of...

This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use...

Education is a well-known driver of (entrepreneurial) income. The measurement of its influence, however, suffers from endogeneity suspicion. For instance, ability and occupational choice are mentioned as driving both the level of (entrepreneurial) income and of education. Using instrumental...

This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use...

Education is a well-known driver of (entrepreneurial) income. The measurement of its influence, however, suffers from endogeneity suspicion. For instance, ability and occupational choice are mentioned as driving both the level of (entrepreneurial) income and of education. Using instrumental...